MIN_NUMBER_OF_BEATS_IN_CHUNK = 10 # beats
elif CHUNK_TYPE == 'Fixed beats number':
NUMBER_OF_BEATS_IN_CHUNK = 1000
TEST_PARTITION = 'random' # method for train / test separation
TEST_PORTION = 0.3
###############################################################
# Initial configuration
np.random.seed(SEED)
logg.configure_logging() # For more details use logg.configure_logging(console_level=logging.DEBUG)
stat_info = { 'mortality': dl.read_dta('mortality_SAHR_ver101214', data_folder=conf.path_to_dta),
'selected_pp': dl.read_dta('selected_pp', data_folder=conf.path_to_dta),
'sleep': dl.get_sleep_time(conf.path_to_dta),
'selected': pd.read_csv(conf.path_to_dta+'selected.csv')
}
#print stat_info['selected'] #!!!
#zxc
#################################################################
# Specify patients GIDNS for study
if FIXED_GIDNS_LIST is not None:
logging.warning('Only %s patients are used in this study: %s'%(len(FIXED_GIDNS_LIST), FIXED_GIDNS_LIST))
asked_GIDNS = FIXED_GIDNS_LIST
else:
asked_GIDNS = dl.get_GIDNS(path_to_dta=conf.path_to_dta)
if MAX_PATIENTS_NUMBER is not None:
logging.warning('Only first %s patients are used in this study'%MAX_PATIENTS_NUMBER)
